Recipes for live data agents and RAG pipelines.
HarvestLab guides are plain-text, code-forward MDX articles that explain how to move actor output into real retrieval and agent systems. The examples favor compact JSON schemas, source citations, and operational steps that AI engineers can copy into production pipelines.
Use-cases and implementation guides
Search recipes by actor, vector database, orchestration framework, or agent workflow. Each guide maps a HarvestLab feed into a concrete RAG or MCP deployment pattern.
Building a Tech-Radar Agent with GitHub Trending MCP
Use GitHub Trending MCP records to rank emerging repositories, cluster themes, and feed a weekly technical radar into an LLM agent.
May 20, 2026 · 6 min read
How to feed Reddit Sentiments directly into Pinecone/LangChain
A practical pattern for converting subreddit posts into compact sentiment documents with source URLs, then loading them into LangChain and Pinecone.
May 20, 2026 · 7 min read